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Abstract

Purpose With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of "information overload". In order to do so, a concept analysis using Rodgers' approach was performed. Design/methodology/approach A concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for "information overload", which is "cognitive overload" was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA). Findings The themes identified from the authors' concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload. Originality/value Through the authors' concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.

Date

22. 4.2023 19:27:56

Type

a

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Abstract

Purpose The purpose of this paper is to determine how information professionals in Scotland and in European national libraries perceive linked data (LD) as well as if and how they are implementing it. Design/methodology/approach The authors applied four data collection techniques: a literature review, semi-structured interviews (n=15), online resources analysis (n=26) and an online survey (n=113). They used constant comparative analysis to identify perceived benefits and challenges of LD implementation, reasons behind adoption or non-adoption of LD and the issues hindering its implementation in libraries. Findings Some projects demonstrate LD's potential to augment the visibility and discoverability of library data, alongside with overcoming linguistic barriers, and supporting interoperability. However, a strong need remains to demonstrate the Semantic Web's potential within libraries. Participants identified lack of expertise and lack of resources/time/staff as implementation barriers. Several other issues remain unsolved, such as licensing constraints, as well as difficulties with obtaining management buy-in for LD initiatives, even where open data are government-mandated. Practical implications Information professionals and vendors should collaborate to develop tools for implementation. Advocacy through disseminating and reviewing successful implementations can help to solve practical difficulties and to obtain management buy-in. Originality/value This is the first known study to present a multinational, comprehensive picture of library LD implementations and associated librarians' perceptions of LD.

Type

a

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Type

a